Files
turboquant_plus/docs
fb0aaae532 docs: KL divergence benchmarks — MoE and dense, 3 cache types each
MoE turbo3: KLD 0.016, 94.3% same top-p (2x q4_0, expected at 3.5 bits)
Dense turbo3: KLD 0.010, 96.0% same top-p
Added Section 4.4 to paper, filled quality-benchmarks.md tables,
created kl-divergence-results.md with full analysis.

Co-Authored-By: tturney@psyguard.ai
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-27 12:29:07 -05:00
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